Research Article
Research on NEV Development Project Portfolio Optimization based on an Improved 0-1 Integer Programming Model
@INPROCEEDINGS{10.4108/eai.24-2-2023.2330682, author={Wenyang Fan and Gang Li and Junlang Cun and Chuanfu Zhang}, title={Research on NEV Development Project Portfolio Optimization based on an Improved 0-1 Integer Programming Model}, proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China}, publisher={EAI}, proceedings_a={EMIS}, year={2023}, month={6}, keywords={new energy vehicle (nev) development projects portfolio optimization 0-1 integer programming project interdependence}, doi={10.4108/eai.24-2-2023.2330682} }- Wenyang Fan
Gang Li
Junlang Cun
Chuanfu Zhang
Year: 2023
Research on NEV Development Project Portfolio Optimization based on an Improved 0-1 Integer Programming Model
EMIS
EAI
DOI: 10.4108/eai.24-2-2023.2330682
Abstract
New energy vehicles (NEVs) are the future trend, and evaluating and making decisions about NEV development projects is crucial for a company's development. However, due to the many complex factors involved in NEV development projects, the current project portfolio evaluation mainly relies on expert experience prediction or the subjective judgment of corporate leaders, or traditional 0-1 integer programming model. To address the subjectivity of evaluations and the difficulty of traditional 0-1 integer programming model in handling inter-project correlations, this paper proposes an improved 0-1 integer programming model. The model considers the correlation between projects and achieves project portfolio optimization through constraint conditions. Furthermore, to further enhance solution efficiency, this paper also employs LINGO to solve the model. Finally, an empirical study is conducted using X Company's NEV development project portfolio optimization problem as an example. The results demonstrate that the model has advantages in solution efficiency and is in line with practical requirements, which can provide companies with a new approach to evaluate and optimize projects in the early stages of product planning.
